把我们不想干的，枯燥的工作交给大模型，可能是AI重塑工作流程和组织模式的开端。 在工作中，我们肯定愿意把这些重复性的、单位时间产出不够高的工作都扔给AI，而且看上去是与AI的双赢。 不久前，斯坦福的研究团队做了一项研究，邀请1500位来自104个职业的一线打工人，让他们选择愿意把什么工作交给AI。 最终，排名前五的工作是：安排客户预约、整理应急档案、修正工资记录、数据转格式与导入、网站数据备份。 这些工作的共同点是标准化高、重复频繁、判断强度低，却极其耗时、容易出错。 但这远远不是终点，从实际应用来看，更可能是AI重塑工作流程和组织模式的开端。 AI能干就让它干 最近一段时间，经常能听到把"枯燥乏味"的工作交给AI的说法。 例如，OpenAI联合创始人兼总裁Greg Brockman在AI Engineer峰会的访谈中，也说到AI能够处理那些人类觉得枯燥乏味的迁移和更新工作，例如改造庞大 的遗留代码库（摩根士丹利今年就在用自己开发的AI工具，批量转化旧代码）。 OpenAI是懂用户心理的，因为这就是全世界的打工人对于AI的期待。 斯坦福的任务清单里也有生成内容、编写代码、创意设计等"高级选项"，只是少有人去选 ...

Core Insights - The rise of AI singers has led to unexpected changes in the music industry, with AI-generated covers gaining significant popularity and raising copyright concerns [1][2][7] Group 1: AI Technology and Popularity - AI singers like "AI Fang Datong" and "AI Sun Yanzi" have gained massive viewership, with "AI Fang Datong" covering "Zhu Yu" reaching up to 1.2 million views and "AI Sun Yanzi" videos surpassing 360 million views [2][3] - The technology behind these AI singers, such as So-Vits-SVC, allows for realistic voice cloning, enabling users to create AI covers with minimal effort [4][5] Group 2: Copyright and Legal Issues - The use of unauthorized song materials for training AI raises significant copyright issues, potentially infringing on the rights of original artists and songwriters [7] - Current copyright laws lack clear definitions regarding the use of AI-generated content, creating a legal gray area that could lead to substantial financial liabilities for infringers [7][8] Group 3: Ethical Considerations - The emergence of AI singers has sparked ethical debates regarding the "voice legacy" of deceased artists, particularly when AI technology is used to create new works that they never performed [7]